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ISSN 0254-0096 CN 11-2082/K

太阳能学报 ›› 2022, Vol. 43 ›› Issue (7): 30-38.DOI: 10.19912/j.0254-0096.tynxb.2020-1167

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计及火用分析的综合能源系统多目标优化调度

黄宇1, 王宇涛1, 李淑琴1, 杨凯1, 王东风1, 李永玲2   

  1. 1.华北电力大学自动化系,保定 071003;
    2.保定电力职业技术学院,保定 071051
  • 收稿日期:2020-11-01 出版日期:2022-07-28 发布日期:2023-01-28
  • 通讯作者: 李永玲(1980—),女,博士、副教授,主要从事综合能源系统优化与控制方面的研究。ncepu_auto@sina.com
  • 基金资助:
    中央高校基本科研业务费专项资金(2021MS089)

MULTI-OBJECTIVE OPTIMAL SCHEDULING OF INTEGRATED ENERGY SYSTEM WITH THERMODYNAMIC EXERGY ANALYSIS METHOD

Huang Yu1, Wang Yutao1, Li Shuqin1, Yang Kai1, Wang Dongfeng1, Li Yongling2   

  1. 1. Department of Automation, North China Electric Power University, Baoding 071003, China;
    2. School of Power Engineering, Baoding Electric Power Vocational and Technical College, Baoding 071051, China
  • Received:2020-11-01 Online:2022-07-28 Published:2023-01-28

摘要: 建立综合能源系统优化调度模型并进行高效求解有利于可再生能源的开发利用,发掘综合能源系统降本增效的潜力。针对含光伏发电的综合能源系统,以系统火用效率倒数最小和总运行成本最小为目标,结合电-热-冷综合需求响应模型和运行约束,构建综合能源系统多目标运行模型。针对模型中存在的非凸非线性项进行等价线性转化处理,将问题由多目标混合整数线性分式规划等价转换为多目标混合整数线性规划,进一步采用ε约束法将其转换为一系列单目标混合整数线性规划问题进行高效求解获得帕累托Pareto前沿,并采用TOPSIS法进行决策。算例仿真表明,所建立的含光伏发电的综合能源系统能提升系统运行灵活性,相比于单目标运行,计及火用分析的综合能源系统多目标优化调度能够实现系统运行成本和火用效率的折衷。

关键词: 综合能源系统, 优化调度, 数学模型, 火用分析, 综合需求响应

Abstract: Building a multi-objective optimal scheduling model and solving it efficiently is conducive to the development and utilization of renewable energy, and makes much sense to explore the potential of cost reduction and efficiency increase for a integrated energy system. Based on the integrated energy system with photovoltaic power generation, this paper establishes the multi-objective operation model of minimizing the reciprocal of system exergy efficiency and minimizing the economic index, combined with the integrated demand response model of electricity heat and cooling and the operation constraints. The non-convex nonlinear terms in the model are dealt with, and the problem is transformed from multi-objective mixed integer linear-fractional programming to multi-objective mixed integer linear programming. Furthermore, in order to obtain Pareto front efficiently, the ε-constraint approach is used to transform it into a series of single objective mixed integer linear programming problems, and TOPSIS method is used for decision-making. The simulation results show that the multi-objective optimization scheduling model can not only improve the system operation flexibility and reduce the operation cost, but also achieve the trade-off between the system operation cost and the exergy efficiency compared with the single objective operation.

Key words: integrated energy system, optimization, mathematical models, exergy analysis, integrated demand response

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